CYSMN DataSet1

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install.packages("data.table")

Error in install.packages : Updating loaded packages

library(data.table)

install.packages("plotly")

Error in install.packages : Updating loaded packages

library(plotly)

install.packages("stringr")

Error in install.packages : Updating loaded packages

library(stringr)

install.packages("stringr")

Error in install.packages : Updating loaded packages

library(stringr)

install.packages("plyr")

Error in install.packages : Updating loaded packages

library(plyr)

Crawford

library(data.table)
library(plotly)
library(stringr)
library("moments")


#pre <- fread("CYSMN_Pre Survey_MODIFIED.csv")
ds2 <- fread("CYSMN_set_2.csv")

scentB <- ds2[ which(str_detect(ds2$ScentID, "B")),]
scentA <- ds2[ which(str_detect(ds2$ScentID, "A")),]




###******************************************************************###



##Time &&Selection Count for Data Set #2 Type A (LAVENDER)##
time_a <- c(scentA$Time1, scentA$Time2, scentA$Time3)
selection_count_a <- c(scentA$Count1, scentA$Count2, scentA$Count3)

##Time &&Selection Count for Data Set #2 Type B (ROSEMARY) ##
time_b <- c(scentB$Time1, scentB$Time2, scentB$Time3)
selection_count_b <- c(scentB$Count1, scentB$Count2, scentB$Count3)



###******************************************************************###

#############      Begin FINISH TIME Plots     ##############
ActivityMeasurements <- c("Completion Time in Seconds")
rosemary <- c(mean(time_b))
lavender <- c(mean(time_a))
data <- data.frame(ActivityMeasurements, rosemary, lavender)


# Calculate standard deviations
lavender_sd <- rbind(time_a)
rosemary_sd <- rbind(time_b)
lavender_sd_final <- apply(lavender_sd, 1, function(x) sd(x))
rosemary_sd_final <- apply(rosemary_sd, 1, function(x) sd(x))

fig <- plot_ly(data, x = ~ActivityMeasurements, y = ~rosemary, type = 'bar', name = 'Rosemary', error_y = ~list(array = c(sd(time_b)), color = '#000000'))


fig <- fig %>% add_trace(y = ~lavender, name = 'Lavender', error_y = ~list(array = c(sd(time_a)), color = '#000000'))


fig <- fig %>% layout(yaxis = list(title = 'Activity Duration in Seconds'), barmode = 'group')

fig

###******************************************************************###

#############      Begin SELECTION COUNT Plots     ##############
ActivityMeasurements <- c("User Clicks until Completion")
rosemary <- c(mean(selection_count_b))
lavender <- c(mean(selection_count_a))
data <- data.frame(ActivityMeasurements, rosemary, lavender)
rose_sd <- sd(selection_count_b)
lav_sd <- sd(selection_count_a)

# Calculate standard deviations
lavender_sd <- rbind(selection_count_a)
rosemary_sd <- rbind(selection_count_b)
lavender_sd_final <- apply(lavender_sd, 1, function(x) sd(x))
rosemary_sd_final <- apply(rosemary_sd, 1, function(x) sd(x))

fig <- plot_ly(data, x = ~ActivityMeasurements, y = ~rosemary, type = 'bar', name = 'Rosemary', error_y = ~list(array = c(rose_sd), color = '#000000'))


fig <- fig %>% add_trace(y = ~lavender, name = 'Lavender', error_y = ~list(array = c(lav_sd), color = '#000000'))


fig <- fig %>% layout(yaxis = list(title = 'Activity Clicks'), barmode = 'group')

fig

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